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Title System and circuit design for biologically-inspired learning / Turgay Temel, editor
Published Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), [2011]
copyright 2011
Online access available from:
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Description 1 online resource (348 pages) : illustrations, digital files
Contents 1. Biologically-inspired learning and intelligent system modeling / Giovanna Morgavi -- 2. Representation of neuro-information and knowledge / Frank van der Velde -- 3. Learning / Frank van der Velde -- 4. Biologically-inspired learning / Turgay Temel -- 5. Optimality-oriented stabilization for recurrent neural networks / Ziqian Liu -- 6. Design of globally robust control for biologically-inspired noisy recurrent neural networks / Ziqian Liu -- 7. A biologically inspired evolving spiking neural model with rank-order population coding and a taste recognition system case study / S. Soltic, N. Kasabov -- 8. Faster self-organizing fuzzy neural network training and improved autonomy with time-delayed synapses for locally recurrent learning / Damien Coyle, Girijesh Prasad, Martin McGinnity -- 9. Biologically-inspired learning and intelligence / Turgay Temel -- 10. A biomimetic adaptive algorithm and micropower circuit architecture for implantable neural decoders / Benjamin Rapoport, Rahul Sarpeshkar -- 11. FPGA coprocessor for simulation of neural networks using compressed matrix storage / J̐Μưrg Bornschein -- 12. Neural network circuits for embedded sensors applications / N. Medrano, G. Zatorre, M. Sanz, B. Calvo, S. Celma -- 13. Parallel hardware for artificial neural networks using fixed floating point representation / Nadia Nedjah, Rodrigo Martins da Silva, Luiza Mourelle --
14. A novel DCGA optimization technique for guaranteed BIBO-stable frequency-response masking digital filters incorporating bilinear lossless discrete-integrator IIR interpolation sub-filters / Syed Bokhari, Behrouz Nowrouzian -- 15. Neuromodeling and natural optimization of nonlinear devices and circuits / Paulo Silva, Rossana Cruz, Adaildo D'Assun̐Μưc̐Μưao
Summary "The objective of the book is to introduce and bring together well-known circuit design aspects, as well as to cover up-to-date outcomes of theoretical studies in decision-making, biologically-inspired, and artificial intelligent learning techniques"--Provided by publisher
Analysis Biologically-inspired learning and intelligent system modeling
Representation of neuro-information and knowledge
Recurrent neural networks
Self-organizing fuzzy neural network training
Neuromodeling and natural optimization
DCGA optimization techniques
Parallel hardware for artificial neural networks
Neural network circuits
Analog circuit design with fuzzy inference
Implantable neural decoders
Bibliography Includes bibliographical references
Notes Mode of access: World Wide Web
Description based on title screen (IGI Global, viewed Dec. 17, 2010)
Subject Neural networks (Computer science)
Natural computation.
Logic circuits.
Form Electronic book
Author Temel, Turgay, 1970-
IGI Global.
LC no. 2010017198
ISBN 9781609600204 (ebook)